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New deadline! FACETS Journal invites papers on #digitalhealth, #telemedicine, and #machinelearning! Share your research on integrated care systems ▶️ ow.ly/b5qX50RJHSu 👩‍🔬 Guest editors: NikkiPantPai Samira A.Rahimi, Ph.D. Dr. Ervin Sejdić 📅 Deadline: April 1, 2025

⏰Final #CallforPapers! @FACETS invites papers on #digitalhealth, #telemedicine, and #machinelearning! Share your research on integrated care systems ▶️ ow.ly/b5qX50RJHSu 👩‍🔬 Guest editors: NikkiPantPai Samira A.Rahimi, Ph.D. Dr. Ervin Sejdić 📅 Deadline: April 4, 2025

Mental health challenges in adolescence can have lifelong consequences, making early identification and management crucial. Our study explores PCPs' challenges in addressing adolescent mental health and their attitudes toward AI as a potential solution.

The world needs science, and science needs women. 👩‍🔬🧪 Yet, they remain under-represented and struggle to get recognition for their achievements. More from UNESCO 🏛️ #Education #Sciences #Culture 🇺🇳 on Tuesday’s International Day of Women & Girls in Science: on.unesco.org/WomenInScience

AI is reshaping healthcare, but how can we ensure it's ethical, inclusive, and impactful? At Rahimi’s Lab, we’re developing AI-driven solutions to improve patient care focusing on fairness, accessibility, and real-world impact. #ai #ethicalAI nature.com/articles/s4159…

We are excited to introduce Rahimi Lab’s HOPE Model—an AI-powered system using Wi-Fi sensing to detect early signs of depression in older adults. No wearables, no invasive tracking just smart, non-intrusive care. shorturl.at/iu4av #AI #MentalHealth #ElderCare #Depression

Our new #AI model, called HOPE model, for early detection of depression among older adults, is released! This project represents years of passionate work and collaboration, and I couldn’t be more proud of what we’ve accomplished. EurekAlert! JMIR Publications eurekalert.org/news-releases/…

New in JMIR Aging: The #AI model HOPE detects #Depression in #OlderAdults using Wi-Fi motion sensors—no wearables needed. With 87% accuracy, it could enable early intervention and improve #MentalHealthMonitoring. Read more: hubs.ly/Q039Rqmz0 Samira A.Rahimi, Ph.D. McGill University

📢 Now #Recruiting! | #Women 50+ needed for a study on AI-driven #cardiovascular disease #prevention! 💙 Wear a smart ring, answer questionnaires & receive up to $100. Interested? 👉 [email protected] #DigitalHealth #AI #MedicalResearch pic.x.com/l18QX2U2Mw

📢 #Recrutement | #Femmes 50+ #recherchées pour une étude sur la #prévention des maladies #cardiovasculaires avec l’IA! 💙 Portez une bague intelligente, répondez à des questionnaires et recevez jusqu'à 100 $. Intéressée? 👉 [email protected] #SantéNumérique

Rahimi Lab presented at Research Canada Innovate! Ting Wang shared our work on integrating EDI in AI for healthcare, introducing the EDAI Framework for ethical, inclusive AI. pubmed.ncbi.nlm.nih.gov/39546793/ #EquityInAI #HealthTech #RahimiLab

This metric from METR shows the length of tasks AI agents can complete has been consistently exponentially increasing over the past 6 years, with a doubling time of around 7 months. Increased agency in AI systems can lead to numerous risks, and truly effective guardrails

New in JMIR MedEdu: AIFM-ed Curriculum Framework for Postgraduate Family Medicine Education on Artificial Intelligence: Mixed Methods Study dlvr.it/TKMtMJ

I’m pleased to share that our #AIFMed Framework is now published!! 💫 The #AIFMed Framework is designed to guide how AI can be responsibly and meaningfully integrated into family medicine training across Canada & hopefully beyond. The College of Family Physicians of Canada The Royal College mededu.jmir.org/2025/1/e66828

Bridging the AI gap in medicine: New framework targets family doctor education medicalxpress.com/news/2025-04-b… via Medical Xpress

📢 New from JMIR Medical Education: Samira A.Rahimi, Ph.D. & Researchers from McGill University introduce AIFM-ed—the Artificial Intelligence in Family #MedicineEducation framework—designed to prepare future family doctors for AI-powered care. 🔗: bit.ly/42JXlRG #AIinHealthcare

📢 New from JMIR Medical Education: Samira A.Rahimi, Ph.D. & Researchers from McGill University introduce AIFM-ed—the Artificial Intelligence in Family #MedicineEducation framework—designed to prepare future family doctors for AI-powered care. 🔗: bit.ly/3GE6fYt #AIinHealthcare

In my recent piece for The Hill Times, I share why it's time to urgently rethink the path we're taking with #AI in #healthcare — and how we can steer it toward meaningful impact. hilltimes.com/story/2025/05/… via @thehilltimes

Today we announced a pilot program that strategically incorporates Large Language Models to enhance the academic paper review process for the AAAI-26 conference. Read more: bit.ly/3ZmwSr4